{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial 3: Finetuning on a New Single-Cell Dataset\n",
    "\n",
    "In this tutorial, we will demonstrate how to fine-tune an existing Cell2Sentence (C2S) model on a new single-cell RNA sequencing dataset. Fine-tuning is a crucial step in adapting a pretrained model to perform well on a specific task or dataset, improving its accuracy and generalization. This tutorial will guide you through the process of fine-tuning a C2S model to perform cell type prediction on a new dataset.\n",
    "\n",
    "In this tutorial, you will:\n",
    "1. Load an immune tissue single-cell dataset from Domínguez Conde et al. (preprocessed in tutorial notebook 0, two sample donors)\n",
    "    - Citation: Domínguez Conde, C., et al. \"Cross-tissue immune cell analysis reveals tissue-specific features in humans.\" Science 376.6594 (2022): eabl5197.\n",
    "2. Format the dataset using a Prompt Formatter object, which prepares the data for the fine-tuning process.\n",
    "3. Load a pretrained C2S model.\n",
    "4. Fine-tune the C2S model to improve its performance on cell type prediction."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will begin by importing the necessary libraries. These include Python's built-in libraries, third-party libraries for handling numerical computations, progress tracking, and specific libraries for single-cell RNA sequencing data and C2S operations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/vast/palmer/home.mccleary/sr2464/.conda/envs/cell2sentence/lib/python3.8/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "# Python built-in libraries\n",
    "import os\n",
    "from datetime import datetime\n",
    "import random\n",
    "from collections import Counter\n",
    "\n",
    "# Third-party libraries\n",
    "import numpy as np\n",
    "from tqdm import tqdm\n",
    "from transformers import TrainingArguments\n",
    "\n",
    "# Single-cell libraries\n",
    "import anndata\n",
    "import scanpy as sc\n",
    "\n",
    "# Cell2Sentence imports\n",
    "import cell2sentence as cs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "SEED = 1234\n",
    "random.seed(SEED)\n",
    "np.random.seed(SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Data\n",
    "\n",
    "Next, we will load the preprocessed dataset from the tutorial 0. This dataset has already been filtered and normalized, so it it ready for transformation into cell sentences.\n",
    "\n",
    "<font color='red'>Please make sure you have completed the preprocessing steps in Tutorial 0 before running the following code, if you are using your own dataset.</font>. Ensure that the file path is correctly set in <font color='gold'>DATA_PATH</font> to where your preprocessed data was saved from tutorial 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_PATH = \"/home/sr2464/palmer_scratch/C2S_Files_Syed/Cell2Sentence_Datasets/dominguez_conde_immune_tissue_two_donors_preprocessed_tutorial_0.h5ad\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 29773 × 23944\n",
       "    obs: 'cell_type', 'tissue', 'batch_condition', 'organism', 'assay', 'sex', 'n_genes', 'n_genes_by_counts', 'total_counts', 'total_counts_mt', 'pct_counts_mt'\n",
       "    var: 'gene_name', 'ensembl_id', 'n_cells', 'mt', 'n_cells_by_counts', 'mean_counts', 'pct_dropout_by_counts', 'total_counts'\n",
       "    uns: 'batch_condition_colors', 'cell_type_colors', 'log1p', 'neighbors', 'pca', 'tissue_colors', 'umap'\n",
       "    obsm: 'X_pca', 'X_umap'\n",
       "    varm: 'PCs'\n",
       "    obsp: 'connectivities', 'distances'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata = anndata.read_h5ad(DATA_PATH)\n",
    "adata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata.obs = adata.obs[[\"cell_type\", \"tissue\", \"batch_condition\", \"organism\", \"sex\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cell_type</th>\n",
       "      <th>tissue</th>\n",
       "      <th>batch_condition</th>\n",
       "      <th>organism</th>\n",
       "      <th>sex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pan_T7935490_AAACCTGCAAATTGCC</th>\n",
       "      <td>CD4-positive helper T cell</td>\n",
       "      <td>ileum</td>\n",
       "      <td>A29</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pan_T7935490_AAACGGGCATCTGGTA</th>\n",
       "      <td>CD8-positive, alpha-beta memory T cell</td>\n",
       "      <td>ileum</td>\n",
       "      <td>A29</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pan_T7935490_AAACGGGTCTTGCATT</th>\n",
       "      <td>CD8-positive, alpha-beta memory T cell</td>\n",
       "      <td>ileum</td>\n",
       "      <td>A29</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pan_T7935490_AAAGCAATCATCGCTC</th>\n",
       "      <td>CD8-positive, alpha-beta memory T cell</td>\n",
       "      <td>ileum</td>\n",
       "      <td>A29</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pan_T7935490_AAAGTAGCAGTCACTA</th>\n",
       "      <td>gamma-delta T cell</td>\n",
       "      <td>ileum</td>\n",
       "      <td>A29</td>\n",
       "      <td>Homo sapiens</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                            cell_type tissue  \\\n",
       "Pan_T7935490_AAACCTGCAAATTGCC              CD4-positive helper T cell  ileum   \n",
       "Pan_T7935490_AAACGGGCATCTGGTA  CD8-positive, alpha-beta memory T cell  ileum   \n",
       "Pan_T7935490_AAACGGGTCTTGCATT  CD8-positive, alpha-beta memory T cell  ileum   \n",
       "Pan_T7935490_AAAGCAATCATCGCTC  CD8-positive, alpha-beta memory T cell  ileum   \n",
       "Pan_T7935490_AAAGTAGCAGTCACTA                      gamma-delta T cell  ileum   \n",
       "\n",
       "                              batch_condition      organism     sex  \n",
       "Pan_T7935490_AAACCTGCAAATTGCC             A29  Homo sapiens  female  \n",
       "Pan_T7935490_AAACGGGCATCTGGTA             A29  Homo sapiens  female  \n",
       "Pan_T7935490_AAACGGGTCTTGCATT             A29  Homo sapiens  female  \n",
       "Pan_T7935490_AAAGCAATCATCGCTC             A29  Homo sapiens  female  \n",
       "Pan_T7935490_AAAGTAGCAGTCACTA             A29  Homo sapiens  female  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene_name</th>\n",
       "      <th>ensembl_id</th>\n",
       "      <th>n_cells</th>\n",
       "      <th>mt</th>\n",
       "      <th>n_cells_by_counts</th>\n",
       "      <th>mean_counts</th>\n",
       "      <th>pct_dropout_by_counts</th>\n",
       "      <th>total_counts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RP11-34P13</th>\n",
       "      <td>RP11-34P13</td>\n",
       "      <td>ENSG00000238009</td>\n",
       "      <td>38</td>\n",
       "      <td>False</td>\n",
       "      <td>38</td>\n",
       "      <td>0.001310</td>\n",
       "      <td>99.872368</td>\n",
       "      <td>39.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RP11-34P13-3</th>\n",
       "      <td>RP11-34P13</td>\n",
       "      <td>ENSG00000241860</td>\n",
       "      <td>106</td>\n",
       "      <td>False</td>\n",
       "      <td>106</td>\n",
       "      <td>0.003627</td>\n",
       "      <td>99.643973</td>\n",
       "      <td>108.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AP006222</th>\n",
       "      <td>AP006222</td>\n",
       "      <td>ENSG00000286448</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>7</td>\n",
       "      <td>0.000235</td>\n",
       "      <td>99.976489</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LINC01409</th>\n",
       "      <td>LINC01409</td>\n",
       "      <td>ENSG00000237491</td>\n",
       "      <td>1292</td>\n",
       "      <td>False</td>\n",
       "      <td>1292</td>\n",
       "      <td>0.045981</td>\n",
       "      <td>95.660498</td>\n",
       "      <td>1369.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FAM87B</th>\n",
       "      <td>FAM87B</td>\n",
       "      <td>ENSG00000177757</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000101</td>\n",
       "      <td>99.989924</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               gene_name       ensembl_id  n_cells     mt  n_cells_by_counts  \\\n",
       "RP11-34P13    RP11-34P13  ENSG00000238009       38  False                 38   \n",
       "RP11-34P13-3  RP11-34P13  ENSG00000241860      106  False                106   \n",
       "AP006222        AP006222  ENSG00000286448        7  False                  7   \n",
       "LINC01409      LINC01409  ENSG00000237491     1292  False               1292   \n",
       "FAM87B            FAM87B  ENSG00000177757        3  False                  3   \n",
       "\n",
       "              mean_counts  pct_dropout_by_counts  total_counts  \n",
       "RP11-34P13       0.001310              99.872368          39.0  \n",
       "RP11-34P13-3     0.003627              99.643973         108.0  \n",
       "AP006222         0.000235              99.976489           7.0  \n",
       "LINC01409        0.045981              95.660498        1369.0  \n",
       "FAM87B           0.000101              99.989924           3.0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.var.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/vast/palmer/home.mccleary/sr2464/.conda/envs/cell2sentence/lib/python3.8/site-packages/scanpy/plotting/_tools/scatterplots.py:394: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.umap(\n",
    "    adata,\n",
    "    color=\"cell_type\",\n",
    "    size=8,\n",
    "    title=\"Human Immune Tissue UMAP\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.408124"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.X.max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are expecting log10 base 10 transformed data, with a maximum value somewhere around 3 or 4. Make sure to start with processed and normalized data when doing the cell sentence conversion!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cell2Sentence Conversion + CSData Creation\n",
    "\n",
    "In this section, we will transform our AnnData object containing our single-cell dataset into a Cell2Sentence (C2S) dataset by calling the functions of the CSData class in the C2S code base. Full documentation for the functions of the CSData class can be found in the documentation page of C2S."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata_obs_cols_to_keep = [\"cell_type\", \"tissue\", \"batch_condition\", \"organism\", \"sex\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29773/29773 [00:09<00:00, 3007.51it/s]\n"
     ]
    }
   ],
   "source": [
    "# Create CSData object\n",
    "arrow_ds, vocabulary = cs.CSData.adata_to_arrow(\n",
    "    adata=adata, \n",
    "    random_state=SEED, \n",
    "    sentence_delimiter=' ',\n",
    "    label_col_names=adata_obs_cols_to_keep\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'cell_name': 'Pan_T7935490_AAACCTGCAAATTGCC',\n",
       " 'cell_sentence': 'RPLP1 ACTB EEF1A1 HSP90AA1 TMSB4X B2M FTH1 KLF6 HSPA1B MALAT1 RPS12 HSPA8 RPL13 MT-CO1 ATF3 MT-CO2 RPL41 TPT1 MT-CO3 RPS19 HLA-B RPL10 RPS4X RPL28 MT-CYB DUSP1 RPL30 MT-ND4L RPS15 FOS RPL34 RPS2 RPLP2 MT-ND3 RPS18 RPS8 TRBV7-2 RPL32 RPS3 ANXA1 RPL11 HLA-C RPS27 ACTG1 UBC RPL3 RPL37 RPLP0 MT-ATP6 JUNB RPS28 RPL18 UBB MT-ATP8 RPS14 RPL39 PFN1 GAPDH HSPA1A RPL18A SRGN RPS27A RPL26 RPL19 RPS15A HLA-A DNAJB1 RPS3A CREM RPS13 MT-ND1 RPL21 RPS25 BTG2 RPL35A FAU RPL8 RPL7A RPS24 RPS6 RPS16 RACK1 NFKBIA RGS1 RPL29 CALM1 RPL9 RPL37A MT-ND5 TNFAIP3 RPS23 IL7R RPL36A PTMA NFKBIZ UBA52 EIF1 CRIP1 CORO1A RPL14 HSP90AB1 RPL10A CXCR4 RPL4 EEF1B2 RPL36 RPS9 RPL27 NACA VIM H3-3B RPS7 HSPH1 ATP5F1E HLA-E RPL17 RPSA MYL12A RPL12 CD69 TAGAP RPL35 RPS29 RPL6 SARAF ZFP36L2 MT-ND4 ARHGDIB BTG1 RPS21 EEF1D PNRC1 EEF1G HSPA5 FYB1 CD3E IFITM1 RNASEK EEF2 MT-ND2 FTL S100A4 JUN IFITM2 CYTIP OST4 LAPTM5 RPL36AL PLAAT4 PFDN5 SAMSN1 DNAJA1 EIF4A1 FXYD5 HSPE1 CTLA4 IL32 RPL24 CFL1 SAT1 RPL13A NPM1 NDUFV2 SRSF7 ITM2B POLR1D CCNI CALR ZFP36 COX7C PTPRC GADD45A CD3G RAC2 MYL6 UBE2D3 CCL20 RPS5 RPL22 TOMM7 RPL15 C12ORF57 LSP1 SON H4C3 RPL23A RPL31 DDX5 EVL AHR SERF2 STK17A CD6 PTGER4 OSTF1 OAZ1 TMA7 PHLDA1 COMMD6 PPIA TMSB10 RHOH TUBA1B KTN1 PDIA3 DUSP5 BTF3 SSR4 ATP5MC2 S100A6 CEBPD TRAV13-2 STAT1 HSPB1 PSMB9 RPL38 HNRNPA2B1 FLT3LG CSTB CDK2AP2 CSK MIF MCL1 PSME1 TXNIP RHOA HNRNPA1 UBL5 PTGES3 PDCD4 SLC2A3 ERCC1 SNHG29 NFKBID SRP14 ARPC1B NR4A2 CMTM6 CD44 ITGA4 GNB2 TRAV19 BHLHE40 HMGB1 ARPC3 TRIR PRKCH NME2 KLRB1 CLIC1 ANAPC16 NCOR1 COX5B MYL12B SAP18 RHOB TCF25 SOD1 SRSF9 FOSB PCBP1 CD96 TBC1D10C CD164 CD3D ACTR2 COX4I1 SH3BGRL3 KMT2E HSPD1 PABPC1 SPCS2 SERP1 TNFRSF1B TAGLN2 PCBP2 RPL5 LDLR YWHAB CSRNP1 COX8A MYADM TRMT112 ATP5MG GABARAP ELF1 PRR13 RPL22L1 WAKMAR2 SIT1 GADD45B RPS17 S100A10 RBBP4 HNRNPDL CD2 UQCRQ COX6B1 RGS2 CHCHD2 TAF1B RPL27A TAP1 MTDH CD99 ARF1 TBCA TMEM14B HNRNPA0 RPS11 SEC61A1 RSRP1 TUBB ACIN1 HNRNPUL1 OXNAD1 LMO4 CTSH RBM8A RGL4 NFU1 AP1G2 TSC22D3 CASS4 CCNH RPS26 PIK3R1 SH3KBP1 SSBP4 TPR GADD45G ZFAS1 COTL1 BCL7C MZT2A LAT FUS SDF2L1 KRTCAP2 MRPL41 CENPX SETD5 TMC8 COX17 DNAJB4 CDKN1B ODC1 ACAP1 ANXA6 CYBA SUMO3 TMBIM6 TMEM259 CD37 PRDX2 UBE2D2 BTG3 PARK7 CD247 TMEM258 HNRNPAB SPOCK2 SEPTIN1 LAMTOR5 RNF11 SNX5 SASH3 PPM1G ARF6 EIF5A IL4I1 RBM3 RSF1 SLA CALM3 SNRPB SHISA5 ARID5B KXD1 PTPRCAP GBP1 STN1 NSA2 ATP1A1 LCK PSMB8 PSMB3 HNRNPC RNF167 RESF1 ACTR3 CKLF CD52 RPS27L GSTK1 GIMAP7 DCXR RGS14 VASP PBXIP1 GOLGA4 RPL23 YWHAQ SNHG16 TAOK3 IGBP1 DOCK10 SRRM1 PSMC3 IKZF3 AHI1 RPL7 TMEM87A EIF5 MED1 ANKRD12 IWS1 SLC25A6 TUBA1C LRRC41 SEC11C DLST VMA21 MKNK2 RALB THUMPD1 DBF4 RHEB WASHC3 VRK2 SUPT4H1 FADD CHD1 CAPN1 TMEM179B CKS2 RGS10 EIF4E BPTF RNMT DDX39A GADD45GIP1 DYNLL1 SF3B2 CDKN2AIP RAP1B ACTN4 ABRACL MOB4 METTL23 ITSN2 MTF2 VSIR PER1 COX7A2 COX14 IPCEF1 YWHAH CYRIB MOB3A SP2 BCL11B STUB1 RNF213 PRKRA EDF1 PRPF38B RHOG BAG1 ATOX1 CACYBP MAP4K1 PPP1R2 PAXX ADA NDUFA12 WAC ELK3 PRRC2C MUS81 CCT4 ARL5B RALBP1 FBXW11 LCP1 LEPROTL1 PDCD10 HNRNPR NR3C1 PPP4C BATF ABLIM1 PSMA2 TRAT1 RUNX3 CIB1 ARPC2 ABI3 UGP2 NDUFAB1 HCLS1 DERL1 RAB5A INSIG1 CNBP CHROMR DSTYK DPP4 TOMM6 PDE4D LUC7L2 JUND ARHGDIA CEMIP2 POLE4 ANXA11 PLEKHB2 SDCBP MANF FAM83D IMP3 TMCO1 SUCLG1 MBD2 NDUFA10 PDIA6 S100A11 DNPH1 TARDBP PTDSS1 RP11-25K19 LPXN FYTTD1 RORA NASP ATP6V1F RIPK2 IDI1 RASSF7 MT-ND6 RWDD1 CYB5R3 MAZ PIM1 PSMA3 GPX4 PACS1 TNIP1 PLEKHF1 STXBP2 MSMO1 UQCR11 EPB41L4A-AS1 TMIGD2 PATL1 COX6A1 CCND3 TUBB4B OCIAD2 UBE2V2 ASMTL MAP3K8 FERMT3 SH2B1 ACP5 RPS6KB2 GABPB1-AS1 MTRNR2L12 ZFAND2A EIF3D ATP5PB NEDD8 NDUFA1 C19ORF25 CYB561D2_ENSG00000114395 PPP1R18 SYF2 PIGT SLC25A3 KHDRBS1 GIMAP4 NAXE HMGN1 RGS19 SUMO1 YWHAZ ERN1 LRRFIP1 NCF1 GALNT11 PSMG2 SNRPA1 IFNGR1 ENSA LAMTOR4 TBRG1 LINC-PINT PSMA7 SH2D2A HCST GUSB SEC61B TAX1BP1 RNF149 GNG5 PIP5K1A SIGIRR ATP6V1H RXYLT1 TRAPPC2B STK4 GPR174 CLEC2B CDC5L MLEC SQSTM1 GNAS DAXX ADAR NRIP1 TPI1 ITM2C NOSIP HADHA GTF2B ATP5IF1 ATP6V0B VEZF1 MYBL1 TOMM5 UQCRFS1 PDE4B ELL MRPL18 TRAC PIGBOS1 PPIB MDH2 PMVK PGAM1 PEX2 RPA2 FBXW5 MICOS13 CYBC1 ELOB PSMB4 COX6C GTF2I CHMP4A ALOX5AP SSR3 SELENOF AIP UXT TBCB SKAP1 RBM4 NDUFA9 DNAJB11 ATP5MK REX1BD GATA3 MVP GIMAP5 DNAJC2 SHKBP1 CAP1 SSBP1 SUZ12 SNHG6 LTB HECA WDR83OS DUT ANXA2 RRAGA PPP1R12A TAPBP DOK2 DYNLT3 RBPJ ATP6V1G1 CD40LG OCIAD1 TCEA1 ATM SLC44A2 OGA HNRNPK PPP2R5E NDUFA4 PLAUR NT5C3A RBL2 PHTF2 ZFAND5 CCR6 BCL3 GYPC SPTY2D1 MBP AKAP9 CD83 HNRNPF RAC1 SSR2 SMARCC2 MRPS21 SRSF3 DDX21 NDUFC1 BST2 FSD1 TRIB2 SF3B6 GDI2 HLTF APBB1IP LY6E NDUFB4 NAA38 FKBP1A PSMB10 FDPS MBNL1 UQCRB TMED2 H1-10 RO60 CEP57 CDKL3 CAPNS1 GIMAP1 EZR HOXB4 JAGN1 EIF2S2 DNAJB9 KCTD20 ARGLU1 EWSR1 SH3GL1 EIF3F RABGGTA MEA1 MLLT3 SARNP UBAC2 TRA2A ARL6IP1 GPI GUK1 DPH3 TGFBR2 ASB2 SRP9 GNAI2 RAB5IF PPIH EIF4A2 UBQLN1 GPR65 RASAL3 NDUFB6 RPN1 HNRNPA3 GBF1 OGG1 LCP2 DESI2 DUSP2 MGST3 CCDC18-AS1 CD53 POLM RTRAF ME2 PHAX ATP6AP1 RDH11 TCERG1 ACTR8 SLC1A5 DSE SLC25A39 FDFT1 CIAO2A LATS1 WDR33 CCDC107 MARCHF7 FAM174C LRPAP1 COG6 IL10RA MNAT1 CLIC3 TUSC2 NAT9 FAM13B EPG5 FKBP11 CREB3 ARHGAP45 MRPL9 MGA MIDEAS PHF20 CHD9 RCE1 VDAC2 EEF1E1 SSB GBP5 NMRK1 CCT8 SCAP ACER3 VAMP8 TALDO1 PHGR1 TC2N GRID2IP EIF2AK1 TOLLIP TBC1D10A C17ORF100 NFRKB CCDC137 E4F1 XRCC5 FCMR PGPEP1 DGCR6L CHURC1 OFD1 MAP4 PLEKHA2 AMD1 MORF4L1 IER5 DCTN2 CTDSP1 DDX6 AHCYL1 PNKD ELOVL1 FXR1 SAPCD1 SELENOT UBE2L6 PMM2 RNF113A PGRMC2 CPSF6 ZNF267 MRPL50 IL16 CREBL2 ASXL2 NUDCD3 ZNF445 C3AR1 CCR5 DGKE RUNX1 AKAP11 RP11-562I5 ARIH1 PPP1CB NDUFAF3 MRPS5 ACTR1B TPD52 SF3A2 CLTC TMEM33 NDUFA5 HMGXB4 PPP1R21 RC3H2 ZNF580 PRKCSH GZMM SEC13 CTNNA1 VPS18 SYNGAP1-AS1 MAPRE1 ZC3H8 DSTN MAN2B2 MGAT4A PAK2 CRY1 LSM7 ZC3H6 TMEM230 CPQ PSMD3 TIMM17A TYMP ST6GALNAC6 PHB2 KDELR2 LAMP2 NUMB RALY ADAM8 R3HDM4 DNAAF2 ADPRM CCSER2 THRAP3 KIDINS220 RBM15B DEF6 ADNP POLR1E IQGAP1 POFUT2 EIF3K NOL7 NMUR1 NOM1 GNPDA1 PKM CWC25 IGF2R ATP2B4 GPS1 LRP10 CA10 ERI3 SMAD3 ANP32B COX7A2L EHBP1 CHUK H2AZ1 LPIN2 ASAH1 MRPL33 BCL2 DNAJC1 USO1 SUMF2 CHCHD3 NAA20 TMEM60 IER3IP1 FLII YBX1 LAIR1 MESD TSC22D1 SF1 TMEM273 PLCG1 NMD3 TMEM18 ABHD14A SLFN5 ENTR1 CHMP6 IRF2BP2 CHCHD5 HTATSF1 RPS10 LSM14A SUPT7L PEX26 YJU2 HDDC3 CFDP1 SELPLG ENO1 KDM5A MTLN ZNF706 ERVK3-1 DCP1A DBNDD2 TAX1BP3 SPINK4 RNF31 NEPRO SHFL PSMD8 IL17RA CHST14 MPC1 GLOD4 BICRAL SMIM26 KIF5C PRKAR1A TENT5C NPRL2 TTC9C RPUSD3 SSH1 ARHGAP35 RSBN1 ECHDC2 G3BP2 PRR5 SMG9 SUPT3H ATP2A3 SIN3B LSM12 PTEN ZNF93 NONO SRRM2 ITFG1 C21ORF91 HINT1 GOT1 C1QTNF1 AZIN1 MZT1 LAP3 NDUFB8 NDUFA13 FRMD4B LYRM2 IL21R PARP12 SCMH1 PBRM1 HAUS4 RAB4B FLJ40194 HIKESHI NR1D1 MFSD8 SRSF1 SMIM30 XRN2 SAMD4B SEM1 CAPZB PIAS4 IKZF1 EIF3I AGTPBP1 MZT2B C1ORF122 MUTYH WDR61 DDX39B CCNDBP1 ZNF816 PFDN2 POLR2F ANO6 NDUFS6 CTNS ATP11B SIVA1 EIF4E3 CTSC SMC4 CDC42SE2 FAM131C PLPP6 TRPC4AP MTMR14 GABARAPL1 FAM133B RFNG EIF2B1 LSM1 ISY1 EIF3G ORAI2 FAM53B SEPTIN2 HTRA2 SEPTIN6 KAT7 MBD4 CAPZA2 WDR20 NDUFB7 TWF2 COMMD5 GPR68 SPPL3 TMEM59 NCL PJA2 SDHA SLMAP CBX3 TMEM161B-AS1 PPOX ACBD3 GOLGA7 GTF2H1 MAP3K2 COA6 PHF5A COPS7A NAA10 SNX14 CUL1 ALG13 TNIK STARD3 LINC00892 SNAI3 RABAC1 USP42 NDUFA3 DDX58 PSMC6 RBCK1 HNRNPH3 ZFAND6 SDHD CHCHD10 PUM1 LDLRAD4 TCHP CNOT11 KIF1C SEC61G TACC1 PSMD6 NIPBL DAPP1 RAB2A TRIM5 LMNB2 SUPT6H AP3S1 CLK1 NSUN2 NUP88 PPA1 UMAD1 SETD9 DCAF15 ANXA2R TMEM9B EGLN2 MRPS18B PSD4 GTDC1 SUCO BUD31 IER2 UPF3A PINX1_ENSG00000254093 NUDC TAF7 UTP15 PTPMT1 PSME2 MALT1 PSTPIP1 TSPYL1 CTSD HIGD2A SBF1 LINC00667 FEM1A RAB5C TAF2 SHOC2 RASL11A AMZ2 TRIM65 ATP6V0E1 HEBP1 PSMD1 NDUFAF8 CORO1B MRPL34 UBN1 RAE1 SPINT2 SOCS1 TRIM52-AS1 TFDP1 TES YIPF2 STX5 BZW1 PDCL3 NOLC1 TPM3 INTS11 RAB35 COQ10B ZNF480 C1D THAP4 EBAG9 FOXP1 SLC30A6 NUS1 MRPS24 PPP2CA USP4 C9ORF16 MSH2 UQCRC1 SLC38A1 ACO2 WASHC5 TXLNG PHF20L1 RAB6A SERINC1 YTHDC1 MIF4GD C1GALT1 KRR1 NDFIP1 GMFG DCAF8 SNX6 PAIP2 PLAA SRP19 RAD21 TECR OTUB1 CLK3 BNIP2 NEK9 COPE RAB9A RMC1 JOSD2 MAP3K1 RNF144B ADGRE5 UBA5 NLRC3 LYPLAL1 SURF6 PDE9A ZNF720 C17ORF107 SPPL2A OPTN LACTB DNAJA2 CAMK4 PLP2 ARMC6 IDH2 FUNDC2 SNHG3 CAPG TMEM106C DR1 PGGHG TUT7 CYB561D1 EIF3E FURIN VPS26B APBB1 NTAN1 ATP5MF MAX MRPL14 ATP5ME ORAI1 SEC62 TNFRSF1A HTT EIF2AK4 SCAPER POLB FAM204A RRP12 ABHD5 IMPDH1 TAF1D TDG IMP4 SMC6 TRIM28 FAS ILK PPP1R16B TSR3 NOP56 EIF5B CUTA GLO1 PPP3CB CENPK MTRR ITGAE GOLGA3 GFER EPSTI1 THEMIS TRIAP1 HSD17B7 TSTD3 ANKRD39 PIP4K2A MTFP1 FAM222B SRFBP1 HOXB2 TRAPPC5 SRSF8 HECTD1 CCAR1 XKR8 RBM26 ISCA1 TRBC2 UBE2B TIMM8B RPUSD1 SAT2 FAM102A ST6GAL1 METTL9 C2ORF68 PERP SNU13 ANKZF1 CBX5 GPN1 COMMD8 EGLN1 HERPUD1 SENP6 SLC38A2 AARS1 GNL2 G3BP1 GPR108 PSMA4 SP100 MFSD10 TMEM70 QRSL1 DAD1 RPS19BP1 SNHG1 CSDE1 TAF4B ASF1A N4BP2L2 RNF138 FBXL5 JAK1 NCLN RAB11B PPP1CA ITGB2 KDELR1 PSMB1 MTX2 SLC35E2A NDUFS8 HAGH PIGW IVNS1ABP SDHC POLDIP2 EIF4G1 ANKRD36 SEPTIN7 CSNK1D PSMF1 TM9SF4 GAB3 MYL6B HNRNPL WIPF1 GATAD1 RFFL PRKCQ-AS1 GTPBP10 INO80D IFITM3 GAS5 WASHC1 CTNNAL1 PTGER2 USP33 ARRB2 ARMCX6 GMIP UMPS TRIM22 DDX41 SFPQ RBM25 MRPL38 CNP FAM193B MAP3K11 WDR74 PIGC CDC37 PPIP5K2 TRMO AGTRAP JMJD8 ARID5A ALKBH7 CYTH1 SET PAF1 SNHG5 FAM174B ADI1 SUDS3 CDCA7 GTSF1 MTCH1 TGIF2 MLX PYGO2 EIF2S1 DNPEP IL23R RPA1 CDC37L1 GYG1 ANP32A SRSF2 RNASEH2B WDR44 ZPR1 GIPC1 RRM2B ILVBL ARL2BP BRK1 YIF1A CEP164 DPY30 NUDT7 PPP2R1A R3HDM1 MSN PSIP1 HMGN4 CCDC152 STOML2 EEF1AKMT2 H2AZ2 CHST12 CHFR FKBP15 SPNS1 APH1A NR4A3 CNOT9 GPSM3 TESK1 CDK5RAP1 TNFAIP1 FAM118B ZBTB7A PCED1B-AS1 MRPS18A BUB3 ICMT DDIT3 DNM1L DCTN4 PPIG CCDC91 LZIC CHD2 BIRC2 AHSA1 ARAP2 COMMD10 NUCKS1 ASAP1 DCTPP1 ETFDH NAA80 STAU2 CCNL1 CASP3 CCDC174 PRNP APOA1-AS PPP1R11 SRP68 C1ORF43 RASSF1 MYD88 AKAP13 SLC25A5 ERH UBE2I ATP5PD ORC3 NUP37 TTC31 WBP2 PDE7A KPNB1 ETFA STK25 PJVK COX19 ATP5MC3 PPP2R2A MDH1 PSMB6 GTF2E2 B3GNT2 TSC22D4 GPD2 MBIP ZFR JTB GPRIN3 LPIN1 SLC35A1 NXT1 KLHL22 DYNC1I2 AP1S1 PPP1R15B SMIM15 TMEM65 HAUS3 KLHL28 MRPL20 MVK ATR MIB2 YPEL3 SCOC WASHC2C SPRY1 LCLAT1 CCDC25 SLC43A3 CIAO3 WBP11 TRIM4 C17ORF49 DTX1 VAMP5 ZSCAN16-AS1 TNFSF13B ARHGAP15 CISH DCP2 GRPEL2 PHB AASDHPPT PUM2 ISG20 PFKM SLC2A1 NBL1 TMED4 COPS3 SRSF11 ZNF710 POMP TTC14 ZNF414 PISD TMEM219 MIR23AHG COQ4 OXA1L DNAJA3 KMT2A MAGOH LYPLA2 WSB1 POLR2B AKIRIN2 PSMB2 UIMC1 DDX18 TCOF1 TNFRSF14 STARD3NL CELF2 NABP1 PTP4A2 LRRC59 TMEM167B CAMK2G SLC4A1AP EIPR1 NUCB2 MED6 VEZT SP4 ARL3 USP12 ARHGAP9 VMAC FIP1L1 RP11-316M20 ADH5 TMC6 IRF1-AS1 LIG4 SNX1 MACF1 GNL1 TPM4 RMND5A LPAR6 DNAJB2 NOP53 CDK2AP1 FIS1 PITPNM1 SF3B4 SNAP47 S100PBP C4ORF33 CHST11 RGS18 C7ORF31 PSMD4 EFCAB7 TTC39C ANXA5 KRI1 FAM214B DUSP12 NR2C1 CBLB UNG LSM8 MYO9B GLMN RALA GTF3C6 ISCA2 DNTTIP2 SELENOK MRPS36 KPNA3 THRA PTS DUSP6 VTA1 PPARG SEPTIN9 UBE2N FRY BCAS2 CAMKMT SAMHD1 GBP2 TMEM50A STAT5A IL17A PCYT2 ISG15 MAPK3 PDCD4-AS1 TIAL1 RTF1 CSNK2B RBM17 LPCAT4 ST13 CNBD2 TMEM184B RNPC3 ARCN1 SMAP2 BLOC1S1 NAMPT ZNF597 EMG1 SLC66A3 HDLBP C11ORF58 SH3BP1 SMARCB1 RP11-726G1 ZNF564 IFI27L2 ATG3 C6ORF226 REL GIMAP6 OLFM2 OGFR BAZ1A RAB7A EIF3L TBC1D20 SDHAF2 PARP10 GAK FYN TBXAS1 PRDM1 FAM241A TMEM263 SRPK1 CD2BP2 SERGEF SURF4 MTERF4 PPP1R10 IRF9 USP14 ZFAND2B AK3 CYTH3 PEBP1 PLIN2 NARF ICAM2 ZRSR2 HELZ C14ORF119 DCAF5 RBM42 ITFG2-AS1_ENSG00000258325 ZNF524 CRNKL1 FASTK UBXN1 MYO1G QTRT1 FLOT1 DNASE2 STK40 USP47 RFLNB ZFYVE28 FHL1 TATDN2 SLC25A25 ATP6V1B2 GSAP MRPL10 PSMD11 ZNF821 RANBP9 TIPRL TMED10 EIF3M HMGN2 UHMK1 TRBV30 EMP3 HPS6 TTC17 OSBPL8 COMT ERP29 GRPEL1 ZNF595 ROGDI RAD23A LYSMD2 ANKRD44 FRMD8 SRSF10 BCL2A1 TBC1D31 ALDH9A1 CHMP1A GABARAPL2 RPS20 MRPS2 CAST TMEM200A H4C2 ATRAID CRYBG1 CRY2 OSBPL7 TRAPPC1 POLR2K TESMIN UBE2D1 GNAI3 SLC39A6 HMGCS1 TMEM138 TMEM223 CHP1 ATP5MJ MSRA SQLE ATRX ZNF207 PPP1R15A DNAJC3 SNX3 FBXO9 FAM162A BTF3L4 NKIRAS1 PRDX6 EHMT1 SYS1 USP36 STX4 TMED7 NR4A1 GNA13 LINC00299 ST3GAL5 IDH3A NAA16 SLC38A10 CRYBB2 B4GALT1 METTL26 MRPL54 TRAF3IP2 DTX3L NDUFA6 NDUFAF4 SUCLA2 CALHM2 GTF2IRD2B RP11-706O15 IK MAGI3 TCTA PBDC1 BRD7 IRF1 P2RY10 CTBS CUX1 PRKD2 PGK1 BCLAF1 IRAG2 CIAPIN1 TNFRSF25 SNRNP200 IL2RG PSMA6 UQCRC2 RTF2 SLC35C2 GNG2 ZBTB22 MEF2A NOP10 LY9 MAP2K2 COMMD1 TMEM203 VPS29 SOD2 CITED2 FLI1 FMNL1 MRTO4 RETREG2 FGFR1OP2 RNF41 UTP4 TKT DHX36 ID2 TMEM245 ERP44 ESF1 BAG3 NDEL1 DAP3 HM13 PTGR2 ZFAND3 UCP2 BIN2 MCF2L2 PHKB SUB1 PDE3B CEP250-AS1 RNH1 WDR1 FAM117A CAMTA2 UGCG LINC00294 PHF14 PTPN22 KATNBL1 NT5DC1 TRIM38 ZNF780A C19ORF53 SNRPG TDP2 EIF4H TMEM140 ZCCHC17 ANKLE2 CDS2 EPHB6 CCDC90B ATAD3C COL18A1 FBP1 AHCY AFTPH ZNF432 HSPA9 CMSS1 FGD3 ANXA7 SLC25A13 RNF5 KRT10 KDM2B-DT ATP5F1D SCAMP3 KIF2A SHMT1 MRPL57 CD5 MLH1 ACOX3 ZNF593 TTI2 TRAPPC10 SRP72 CXCR6 COPS5 TET2 HEBP2 OGT ANKRD13D CEBPZ MRPL23 UBE2V1 AP2M1 SLC39A4 LLGL1 DLD ACAA2 SCAMP4 PARP8 CXXC1 MAD2L2 GIT2 OSGIN2 FAM219A ERLEC1 PTPN7 TMEM41B SERTAD3 TCF7 ARPC5 NCBP2AS2 ZNF211 SNRPB2 B9D2 ANKRD27 TIPARP RAB1B SRM PARP16 EIF4EBP2 GDI1 ARPC5L CEACAM21 IVD EXOSC4 KDM6A STARD7 JAK3 CBR1 ARL6IP5 STK26 UFM1 ARHGAP18 ESD ISOC2 HCFC1 RING1 PRELID1 MGME1 NDUFC2 CELF1 PNP IFT27 KBTBD2 TUFM TSTD1 CISD3 C17ORF67 BUD23 SCRN2 CHCHD7 FARSA RP11-29H23-1 LINC02481 TPP1 THYN1 ARHGEF1 GCLM PRPF39 TRAPPC6B SLF1 SMIM3 EVI2A AZIN2 ASH1L API5 COG2 SLC25A22 CHD4 WRAP73 CDC26 UBE2L3 EPC1 ATP2B1 CCAR2 RRN3 UBA1 CSNK1A1 CASP8 PELI1 CNOT2 SRP54 VAPA MRPS33 NDUFB11 NAF1 UBE2G2 DVL3 TLE5 CALCOCO2 UQCR10 SIRPG COX7B NDRG1 EIF2S3 H3C4 SMCHD1 RAN MAPKAPK5-AS1 TSG101 HAX1 ANKDD1A DCTN3 CD55 PSKH1 PET100 IMMT SRGAP2C H3-3A PIGH RBM48 FAM177A1 TEFM FBXL4 MID1IP1 PRR5L SLC25A11 NGDN NCAPD3 SLC9A3R1 CDIP1 GRK6 SDF4 DENND2D CASP7 EFR3A NFAT5 PRELID3B TEX30 CIRBP CSNK1G1 MCRS1 CHMP2B TMOD3 PRKX POLR2C NSFL1C POLR1H TAP2 PIANP ARL6IP6 RIPK1 TDP1 SCAF11 SNRPN ZNF335 USP3 UBQLN2 ARMCX3 HSDL1 RSU1 TXNL1 TMEM101 BAD KIF5B AP1AR FAM104A GBP4 AC058791 NDUFB1 DPP7 NDUFB2 RANGAP1 SETX MAF1 NME4 TRGV10 TACC3 AP5Z1 PITPNB EDEM1 CTD-2095E4 ANKRD28 MINDY2 YPEL4 IGHV4-34 TRIM44 ARL6IP4 GART RAD18 SF3B5 BZW2 ECD ZYX HECW2-AS1 CNTRL RECQL PARP9 UPP1 PYCR2 ARHGAP30 TBC1D22B RASGRP1 STIM1 ZNF263 ZNF230 LDLRAP1 PDCD2 FOXO1 UNC119B RNF114 YPEL5 IFNGR2 PRRC1 EIF4B PDXK RAB8B RICTOR ARL8A ESCO1 RBM38 PPIF GMPS HDDC2 FBXO42 PTP4A3 SERPINH1 TRIM69 WTAP PEMT VPS72 WAS PPP4R3A CDV3 CETN2 VAC14 TRIM21 DAZAP2 ARF5',\n",
       " 'cell_type': 'CD4-positive helper T cell',\n",
       " 'tissue': 'ileum',\n",
       " 'batch_condition': 'A29',\n",
       " 'organism': 'Homo sapiens',\n",
       " 'sex': 'female'}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_idx = 0\n",
    "arrow_ds[sample_idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "c2s_save_dir = \"/home/sr2464/palmer_scratch/C2S_Files_Syed/c2s_api_testing\"  # C2S dataset will be saved into this directory\n",
    "c2s_save_name = \"dominguez_immune_tissue_tutorial3\"  # This will be the name of our C2S dataset on disk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Saving the dataset (1/1 shards): 100%|██████████| 29773/29773 [00:00<00:00, 68535.30 examples/s] \n"
     ]
    }
   ],
   "source": [
    "csdata = cs.CSData.csdata_from_arrow(\n",
    "    arrow_dataset=arrow_ds, \n",
    "    vocabulary=vocabulary,\n",
    "    save_dir=c2s_save_dir,\n",
    "    save_name=c2s_save_name,\n",
    "    dataset_backend=\"arrow\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CSData Object; Path=/home/sr2464/palmer_scratch/C2S_Files_Syed/c2s_api_testing/dominguez_immune_tissue_tutorial3, Format=arrow\n"
     ]
    }
   ],
   "source": [
    "print(csdata)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load C2S Model\n",
    "\n",
    "Now, we will load a C2S model which will finetune on a new dataset. This model can be a LLM pretrained on natural language, or it can be a trained C2S model which will undergo further finetuning on a new dataset of interest. Typically, starting from a pretrained C2S model benefits performance, since C2S models were initialized from natural language-pretrained LLMs and trained on many single-cell datasets on different tasks.\n",
    "\n",
    "For this tutorial, we will start finetuning from the C2S-Pythia-410M cell type prediction model, which was trained to do cell type prediction on many datasets from CellxGene and Human Cell Atlas. We will finetune it for cell type prediction on our immune tissue dataset which we have loaded, which will help align the model with the cell type annotations present in this dataset as well as the expression profiles of the cells in our two donor samples. More details about the C2S-Pythia-410M cell type prediction model can be found in the Model Zoo section of the ReadME in the GitHub repo, or in the Huggingface model card.\n",
    "\n",
    "We can define our CSModel object with our pretrained cell type prediction model as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using device: cuda\n"
     ]
    }
   ],
   "source": [
    "# Define CSModel object\n",
    "cell_type_prediction_model_path = \"/home/sr2464/palmer_scratch/C2S_Files_Syed/multicell_pretraining_v2_important_models/pythia-410m-multicell_v2_2024-07-28_13-55-51_checkpoint-7600_cell_type_pred\"\n",
    "save_dir = \"/home/sr2464/palmer_scratch/C2S_Files_Syed/c2s_api_testing/csmodel_tutorial_3\"\n",
    "save_name = \"cell_type_pred_pythia_410M_2\"\n",
    "csmodel = cs.CSModel(\n",
    "    model_name_or_path=cell_type_prediction_model_path,\n",
    "    save_dir=save_dir,\n",
    "    save_name=save_name\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the `model_name_or_path` parameter can be a name of a Huggingface model, for example 'EleutherAI/pythia-410m' for a 410 million parameter Pythia model pretrained on natural language (see https://huggingface.co/EleutherAI/pythia-410m), or it can be the path to a pretrained model saved on disk, as in the case in the cell above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CSModel Object; Path=/home/sr2464/palmer_scratch/C2S_Files_Syed/c2s_api_testing/csmodel_tutorial_3/cell_type_pred_pythia_410M_2\n"
     ]
    }
   ],
   "source": [
    "print(csmodel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Finetune on new dataset\n",
    "\n",
    "Now, we will finetune our loaded C2S model on our immune tissue dataset. For training, we will need to define training arguments for finetuning our C2S model on our new dataset. Huggingface's Trainer class is used to do training, so we can utilize different training techniques (e.g. mixed precision training, gradient accumulation, gradient checkpointing, etc.) by specifying the corresponding option in the TrainingArguments object. This gives us a vast array of possible options for training, and will allow us to specify important parameters such as batch size, learning rate, and learning rate schedulers. See the full documentation for training arguments at:\n",
    "- https://huggingface.co/docs/transformers/en/main_classes/trainer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we define our training task, which in our case will be cell type prediction. Possible values for the training task parameter can be found in the `prompt_formatter.py` file in the source code, under `SUPPORTED_TASKS`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "training_task = \"cell_type_prediction\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will create a datetimestamp to mark our training session:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/sr2464/palmer_scratch/C2S_Files_Syed/c2s_api_testing/csmodel_tutorial_3/2024-08-27-19_41_20_finetune_cell_type_prediction\n"
     ]
    }
   ],
   "source": [
    "datetimestamp = datetime.now().strftime('%Y-%m-%d-%H_%M_%S')\n",
    "output_dir = os.path.join(csmodel.save_dir, datetimestamp + f\"_finetune_{training_task}\")\n",
    "if not os.path.exists(output_dir):\n",
    "    os.mkdir(output_dir)\n",
    "print(output_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And here, we define our training arguments. For this tutorial, we will use a batch size of 8 with 4 gradient accumulation steps, yielding an effective batch size of 32. We will use a learning rate of 1e-5 with a cosine annealing scheduler, and we will train for 5 epochs total. Some other important parameters specified here are:\n",
    "- bf16: Uses mixed-precision training with bfloat16 dtype\n",
    "- logging_steps: controls how often we log training loss\n",
    "- eval_steps: controls how often we run the eval loop\n",
    "- warmup_ratio: percentage of training in which learning rate warms up to the base learning rate specified\n",
    "\n",
    "Full explanations of all possible training arguments can be found in the Huggingface Trainer documentation: \n",
    "\n",
    "https://huggingface.co/docs/transformers/v4.44.2/en/main_classes/trainer#transformers.TrainingArguments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_args = TrainingArguments(\n",
    "    bf16=True,\n",
    "    fp16=False,\n",
    "    per_device_train_batch_size=8,\n",
    "    per_device_eval_batch_size=8,\n",
    "    gradient_accumulation_steps=4,\n",
    "    gradient_checkpointing=False,\n",
    "    learning_rate=1e-5,\n",
    "    load_best_model_at_end=True,\n",
    "    logging_steps=50,\n",
    "    logging_strategy=\"steps\",\n",
    "    lr_scheduler_type=\"cosine\",\n",
    "    num_train_epochs=5, \n",
    "    eval_steps=50,\n",
    "    evaluation_strategy=\"steps\",\n",
    "    save_steps=100,\n",
    "    save_strategy=\"steps\",\n",
    "    save_total_limit=3,\n",
    "    warmup_ratio=0.05,\n",
    "    output_dir=output_dir\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reloading model from path on disk: /home/sr2464/palmer_scratch/C2S_Files_Syed/c2s_api_testing/csmodel_tutorial_3/cell_type_pred_pythia_410M_2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Map (num_proc=3): 100%|██████████| 29773/29773 [00:34<00:00, 867.46 examples/s] \n",
      "Detected kernel version 4.18.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting training. Output directory: /home/sr2464/palmer_scratch/C2S_Files_Syed/c2s_api_testing/csmodel_tutorial_3/2024-08-27-19_41_20_finetune_cell_type_prediction\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "      \n",
       "      <progress value='3725' max='3725' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      [3725/3725 2:31:00, Epoch 4/5]\n",
       "    </div>\n",
       "    <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       " <tr style=\"text-align: left;\">\n",
       "      <th>Step</th>\n",
       "      <th>Training Loss</th>\n",
       "      <th>Validation Loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>50</td>\n",
       "      <td>1.455800</td>\n",
       "      <td>1.425271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>100</td>\n",
       "      <td>1.419200</td>\n",
       "      <td>1.415364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150</td>\n",
       "      <td>1.417800</td>\n",
       "      <td>1.412198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>200</td>\n",
       "      <td>1.425200</td>\n",
       "      <td>1.411509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>250</td>\n",
       "      <td>1.418800</td>\n",
       "      <td>1.408261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>300</td>\n",
       "      <td>1.422800</td>\n",
       "      <td>1.403491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>350</td>\n",
       "      <td>1.402000</td>\n",
       "      <td>1.404428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>400</td>\n",
       "      <td>1.414400</td>\n",
       "      <td>1.405372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>450</td>\n",
       "      <td>1.397800</td>\n",
       "      <td>1.400653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>500</td>\n",
       "      <td>1.407900</td>\n",
       "      <td>1.400222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>550</td>\n",
       "      <td>1.401100</td>\n",
       "      <td>1.399406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>600</td>\n",
       "      <td>1.402800</td>\n",
       "      <td>1.398249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>650</td>\n",
       "      <td>1.401000</td>\n",
       "      <td>1.395563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>700</td>\n",
       "      <td>1.402900</td>\n",
       "      <td>1.397366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>750</td>\n",
       "      <td>1.397600</td>\n",
       "      <td>1.395080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>800</td>\n",
       "      <td>1.386400</td>\n",
       "      <td>1.396452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>850</td>\n",
       "      <td>1.403700</td>\n",
       "      <td>1.394555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>900</td>\n",
       "      <td>1.394900</td>\n",
       "      <td>1.393274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>950</td>\n",
       "      <td>1.396000</td>\n",
       "      <td>1.392161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1000</td>\n",
       "      <td>1.388100</td>\n",
       "      <td>1.391204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1050</td>\n",
       "      <td>1.386600</td>\n",
       "      <td>1.390855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1100</td>\n",
       "      <td>1.398300</td>\n",
       "      <td>1.391406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1150</td>\n",
       "      <td>1.391400</td>\n",
       "      <td>1.389663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1200</td>\n",
       "      <td>1.392300</td>\n",
       "      <td>1.389029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1250</td>\n",
       "      <td>1.397600</td>\n",
       "      <td>1.388973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1300</td>\n",
       "      <td>1.375700</td>\n",
       "      <td>1.387969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1350</td>\n",
       "      <td>1.384900</td>\n",
       "      <td>1.386819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1400</td>\n",
       "      <td>1.390800</td>\n",
       "      <td>1.386422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1450</td>\n",
       "      <td>1.392200</td>\n",
       "      <td>1.385592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1500</td>\n",
       "      <td>1.380000</td>\n",
       "      <td>1.384256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1550</td>\n",
       "      <td>1.364700</td>\n",
       "      <td>1.385448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1600</td>\n",
       "      <td>1.378500</td>\n",
       "      <td>1.383481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1650</td>\n",
       "      <td>1.377800</td>\n",
       "      <td>1.384099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1700</td>\n",
       "      <td>1.384600</td>\n",
       "      <td>1.383136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1750</td>\n",
       "      <td>1.377300</td>\n",
       "      <td>1.381983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1800</td>\n",
       "      <td>1.381400</td>\n",
       "      <td>1.382542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1850</td>\n",
       "      <td>1.369500</td>\n",
       "      <td>1.381648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1900</td>\n",
       "      <td>1.375000</td>\n",
       "      <td>1.381051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1950</td>\n",
       "      <td>1.366100</td>\n",
       "      <td>1.380829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2000</td>\n",
       "      <td>1.385500</td>\n",
       "      <td>1.381679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2050</td>\n",
       "      <td>1.375100</td>\n",
       "      <td>1.379761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2100</td>\n",
       "      <td>1.373100</td>\n",
       "      <td>1.379063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2150</td>\n",
       "      <td>1.387000</td>\n",
       "      <td>1.377422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2200</td>\n",
       "      <td>1.384100</td>\n",
       "      <td>1.378641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2250</td>\n",
       "      <td>1.375000</td>\n",
       "      <td>1.379047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2300</td>\n",
       "      <td>1.364300</td>\n",
       "      <td>1.377755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2350</td>\n",
       "      <td>1.369700</td>\n",
       "      <td>1.377648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2400</td>\n",
       "      <td>1.366100</td>\n",
       "      <td>1.378065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2450</td>\n",
       "      <td>1.371100</td>\n",
       "      <td>1.376862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2500</td>\n",
       "      <td>1.369200</td>\n",
       "      <td>1.376453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2550</td>\n",
       "      <td>1.375000</td>\n",
       "      <td>1.375455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2600</td>\n",
       "      <td>1.361600</td>\n",
       "      <td>1.375821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2650</td>\n",
       "      <td>1.367000</td>\n",
       "      <td>1.375757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2700</td>\n",
       "      <td>1.357900</td>\n",
       "      <td>1.374470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2750</td>\n",
       "      <td>1.369400</td>\n",
       "      <td>1.374064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2800</td>\n",
       "      <td>1.353900</td>\n",
       "      <td>1.374117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2850</td>\n",
       "      <td>1.365000</td>\n",
       "      <td>1.373303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2900</td>\n",
       "      <td>1.367600</td>\n",
       "      <td>1.372822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2950</td>\n",
       "      <td>1.360200</td>\n",
       "      <td>1.372821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3000</td>\n",
       "      <td>1.365900</td>\n",
       "      <td>1.372818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3050</td>\n",
       "      <td>1.355300</td>\n",
       "      <td>1.373152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3100</td>\n",
       "      <td>1.363300</td>\n",
       "      <td>1.373024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3150</td>\n",
       "      <td>1.353200</td>\n",
       "      <td>1.372576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3200</td>\n",
       "      <td>1.355300</td>\n",
       "      <td>1.372338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3250</td>\n",
       "      <td>1.348100</td>\n",
       "      <td>1.372212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3300</td>\n",
       "      <td>1.360500</td>\n",
       "      <td>1.372008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3350</td>\n",
       "      <td>1.367200</td>\n",
       "      <td>1.371811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3400</td>\n",
       "      <td>1.358800</td>\n",
       "      <td>1.371902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3450</td>\n",
       "      <td>1.349300</td>\n",
       "      <td>1.371779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3500</td>\n",
       "      <td>1.358500</td>\n",
       "      <td>1.371697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3550</td>\n",
       "      <td>1.359000</td>\n",
       "      <td>1.371564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3600</td>\n",
       "      <td>1.358800</td>\n",
       "      <td>1.371551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3650</td>\n",
       "      <td>1.352500</td>\n",
       "      <td>1.371515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3700</td>\n",
       "      <td>1.355500</td>\n",
       "      <td>1.371538</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table><p>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finetuning completed. Updated model saved to disk at: /home/sr2464/palmer_scratch/C2S_Files_Syed/c2s_api_testing/csmodel_tutorial_3/2024-08-27-19_41_20_finetune_cell_type_prediction\n"
     ]
    }
   ],
   "source": [
    "csmodel.fine_tune(\n",
    "    csdata=csdata,\n",
    "    task=training_task,\n",
    "    train_args=train_args,\n",
    "    loss_on_response_only=False,\n",
    "    top_k_genes=200,\n",
    "    max_eval_samples=500,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our trained models are now saved in the output directory we specified in the training arguments. Huggingface will save the latest checkpoints of the training session, and will also keep the checkpoint which has the lowest validation loss.\n",
    "\n",
    "In the next tutorial notebook (tutorial 4), we will see how to run cell type prediction inference with our trained model."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.19 64-bit ('cell2sentence')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.19"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "d7317d00728736e5bc6b206041e48559c1ea9129dca7c1c8495e920c1cfd698f"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
